Search results

Development of a Low-Cost Irradiance Meter with Remote Data Logger A.J.
It also features Wi-Fi and Bluetooth capabilities for wireless communication and data transmission.
Data Acquisition.
On-site calibration process and Live-Data Transmission Testing.
To ensure data security and internet connection for data logging, the Arduino IDE code uploaded to the microcontroller is configured with a specific hotspot name, restricting the ESP32's connectivity to this predefined network.

Weight reduction is a priority across the automotive industry for improved fuel efficiency and CO2 reduction, and crash safety is the first design criterion considered during vehicle development.
Recent research shows that every 10% vehicle weight reduction can yield 5-8% greater fuel economy, while reducing 100 kg of vehicle weight can lead to CO2 reduction up to 12.5 g/km [1].
Material Substitution for Weight Reduction.
For steel, , , gives reasonable agreement with the experimental data by Symonds[5].
Table 2 Weight reduction of front rail in designs with various AHSS Design No.

In this paper, a numerical analysis of flow and temperature distribution of a small raised-floor data centre is conducted in order to evaluate the thermal performance of the data centre.
Fig. 1: A typical data centre with HACA arrangement.
Fig. 2 Schematic of the modelled data centre.
As discussed by Fakhim et al. [5], data centre airspace can be divided into two main zones: data centre environment airspace excluding racks (AE), and airflow inside the racks (AR).
Hence there is a reduction in the SHI value along with a reduction in the exergy of racks leading to the decrease in exergy destruction (according to Eq. 1).

Formerly, the setting of the parameter of the strip in the above-mentioned five parts in the process of production in cold reduction mill of roll, we adopt the method of thinking and setting alone.
When i=0, ( is the number of transverse distribution in the coming strip ); B—the width of the strip; —the average backward pull in framework i of cold reduction mill of roll; —the average forward pull in framework i of cold reduction mill of roll.
Similarly, we can understand from the model of elastic deforming in roll-system, the number of the exit thickness distribution after framework 1-5 could indicate by Eq.2 : (2) In this formula: —the setting value of the depressing rate in framework i in cold reduction mill of roll; —the force of the bending and working roll in framework i in cold reduction mill of roll; —the distribution of the roll shape in the working and sustaining rolls in framework i in cold reduction mill of roll.
In the procedure of setting and calculation of the parameter of the strip, we adopt the data under the condition that we have the experimental findings about the camber and template of the coming strip.
The Table 1 show the setting data of the bending force of framework 1-5 after the combined setting technology of the parameter of the strip, and the setting result of the bending force in traditional way of optimization.

The intellectual primary equipments are configured with a lot of sensors, so they can convert signals from analog form to digital form, and transmit data to the automation operating system of the power grid with optical fiber ethernet in the substation.
The Rough Set Theory The Rough sets theory is a mathematical formalism to deal with incomplete data, uncertainty in knowledge discovery [1].
It can not only efficiently analyze and process the imprecise, inconsistent, half-baked information, but also can discover hidden knowledge and reveal the potential laws through data reasoning.
The main advantage of rough set theory in data analysis is that it does not need any preliminary or additional information about data comparing with probability analysis method in statistics.
Value Reduction of Decision Table The decision table after the attribute reduction should do the value reduction.

In order to get better PAPR reduction performance, we propose a new PAPR reduction algorithm based on parametric minimum cross entropy(PMCE).
PAPR Reduction Using Hexagonal Constellation And Parametric Minimum Cross Entropy (PMCE) Algorithm Let us denote the data block of length as a vector , where is the number of subcarriers.
For each data block, denote the number and index set of subcarriers where constellation points have two representations in hexagonal constellations as and respectively, where .
Comparison of PAPR reduction by different methods.
In order to get better PAPR reduction performance, we propose a new PAPR reduction algorithm based on parametric minimum cross entropy (PMCE).

The other is the operation model change, introduction of energy saving and emission reduction technology, and reduction of traditional IT sales costs.
All the software runs in the cloud computing data center.
Business data is also stored in the cloud data center.
The security of cloud computing data center has two main aspects: First, security issues of cloud computing data center environment itself.
Cloud Computing Data Service Availability Requirements.

Results and Discussion The X-ray diffraction data of the SBN61 samples are shown in Figure 1.
The oxygen-reduction degree increases in the order of SBN61Ar, SBN61H1100, and SBN61H1250.
According to the X-ray diffraction data, the lattice parameters and the theoretical densities of the samples were calculated, as shown in Table 1.
It indicates that oxygen-reduction can increase the κl of the SBN61 ceramics.
However, when the oxygen-reduction achieves some degree, the deepening of the oxygen-reduction degree has little effects on the increase of the κl.

Synthesis of boride composite powder via fused and carbon thermal reduction Dongdong Meng1, a, Chengliang Ma1, b, Yong wei Li1, c 1Zhengzhou University, Zhengzhou, 450052, China a690895262@qq.com b13623816850@139.com c805358250@qq.com Key words: Fused method, carbon thermal reduction, high-performance boride composite powder Abstract.
To properly cope with the problems and meet the demand of high performance, applying the fused and carbon thermal reduction method as well as combining with the advantages of EAF are necessary not only to produce high performance and low cost boride compound but also to succeed in the industrial production and application for this material.
To synthesize the high-performance boride compound and confirm the best choice of boron source, carbon source and agent, adjusting the category and addition of carbon source, boron source and the agent during the synthesis process, according to the analyzed data from XRD, is essential.
The main reason accounting for this phenomenon is attributed to constant adjustment of the category and addition amount of carbon source, boron source to complement the loss of boron source as well as the agent for crystal type conversion during the synthesis process according to the analyzed data of XRD.
Conclusions 1) The fused and carbon thermal reduction method is feasible to synthesize the boride composite powder.

Time series on“cleaned data” In this section we briefly recall the main steps to the noise-reduction scheme proposed in [4].
A phase portrait of cleaned version is shown below (Fig. 3) where it can be compared with the original data.
Conclusion We apply the noise reduction scheme to numerical simulation data sets, some techniques from nonlinear dynamics are adopted to identify the different dynamics regimes of system behavior.
Nonlinear processing can lead to consistent and reliable noise reduction, this done, much more information can be extracted from the numerical simulation data.
Kantz, Noise in chaotic data: Diagnosis and treatment.